{"id":626,"date":"2012-08-06T01:35:06","date_gmt":"2012-08-06T01:35:06","guid":{"rendered":"http:\/\/blogs.library.duke.edu\/data\/?p=626"},"modified":"2016-02-15T16:02:25","modified_gmt":"2016-02-15T16:02:25","slug":"online-mapping-tools-geocommons","status":"publish","type":"post","link":"https:\/\/blogs.library.duke.edu\/data\/2012\/08\/06\/online-mapping-tools-geocommons\/","title":{"rendered":"Online Mapping Tools &#8211; GeoCommons"},"content":{"rendered":"<p>Visualizing spatial data can be challenging.\u00a0 Specialized software tools like ArcGIS produce excellent results, but often seem complex for relatively simple tasks. Several online tools have emerged recently that provide relatively easy alternatives for the display of spatial data.\u00a0 In this post, we examine GeoCommons, a web based tool for presenting spatial data in detail.\u00a0 (<em>Go to <a title=\"Mapping Tools\" href=\"http:\/\/library.duke.edu\/data\/guides\/map_tools.html\" target=\"_blank\">this guide <\/a>to see a comparison chart of packages and features, and see this <a title=\"GeoCommons\" href=\"http:\/\/guides.library.duke.edu\/geocommons\" target=\"_blank\">Duke University Libguide<\/a> for a more detailed review of GeoCommons.<\/em>)<\/p>\n<p>&nbsp;<\/p>\n<p><strong>GeoCommons<\/strong> (<a href=\"http:\/\/geocommons.com\/\" target=\"_blank\">geocommons.com<\/a>)<\/p>\n<p>GeoCommons is an online mapping application that easily imports a variety of data formats, including geospatial data, and quickly produces sharable maps.\u00a0 In contrast to other mapping tools, GeoCommons contains several categorization algorithms, such as quantile classification and classification based on the standard deviation of the sample that assist with the construction of informative maps.\u00a0 CSV files and ArcGIS shapefiles are two of the most widely used file formats compatible with GeoCommons.<\/p>\n<p>GeoCommons is very easy to use and contains some of the display features contained in high-end GIS suites.\u00a0 Creation of new variables tied to geographies can be tricky, so it&#8217;s advised to either upload data\u00a0 and map in final form or to first identify the layer to which you will upload and join a complete data set.<\/p>\n<p>&nbsp;<\/p>\n<p><em>Geocoding<\/em><\/p>\n<figure style=\"width: 150px\" class=\"wp-caption alignright\"><a href=\"http:\/\/blogs.library.duke.edu\/data\/files\/2012\/03\/t2.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/blogs.library.duke.edu\/data\/files\/2012\/03\/t2-150x150.jpg\" alt=\"\" width=\"150\" height=\"150\" \/><\/a><figcaption class=\"wp-caption-text\">Figure 1<\/figcaption><\/figure>\n<p>To begin geocoding, upload a file.\u00a0 Gecommons has the capability to recognize spatially encoded data.\u00a0 Some formats may require user assistance.<\/p>\n<p>If you\u2019ve uploaded data that contains latitude and longitude coordinates, choose this option.\u00a0 In my case, I had county FIPS codes that uniquely identified each county.\u00a0 Selecting US Boundaries to the left, then USA Counties, I was able to successfully preview how well my FIPS codes matched the layer (Figures\u00a01 and 2).\u00a0 A variety of other boundary types are available.\u00a0 The key is to have in your data a unique identifier that identifies each record in the same manner as an available geocoding layer.<\/p>\n<figure style=\"width: 150px\" class=\"wp-caption alignright\"><a href=\"http:\/\/blogs.library.duke.edu\/data\/files\/2012\/03\/t4.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/blogs.library.duke.edu\/data\/files\/2012\/03\/t4-150x150.jpg\" alt=\"\" width=\"150\" height=\"150\" \/><\/a><figcaption class=\"wp-caption-text\">Figure 2<\/figcaption><\/figure>\n<p>Review the geocoding results and select Continue to proceed.<\/p>\n<p>&nbsp;<\/p>\n<p><em>Mapping<\/em><\/p>\n<p>Geocommons offers some nice built in features that assist with categorizing measures.\u00a0 The application will produce summary statistics for numeric fields (Figure 3), which gives you a quick picture of your sample and can assist with how to categorize the data.\u00a0 Click the \u201cMake a Map\u201d button to proceed to the interactive interface.<\/p>\n<figure style=\"width: 150px\" class=\"wp-caption alignright\"><a href=\"http:\/\/blogs.library.duke.edu\/data\/files\/2012\/03\/t5.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/blogs.library.duke.edu\/data\/files\/2012\/03\/t5-150x150.jpg\" alt=\"\" width=\"150\" height=\"150\" \/><\/a><figcaption class=\"wp-caption-text\">Figure 3<\/figcaption><\/figure>\n<p>Also note the filter tab, which allows you to screen out groups of cases.\u00a0 For example, I may request a minimum number of farms to screen out urban counties.<\/p>\n<p>Figure 4 shows a standard choropleth map portraying median number of acres per farm by county for North Carolina in 2007.\u00a0 In this example, I have classified counties into five groups using standard deviations to group counties.<\/p>\n<p>&nbsp;<\/p>\n<p><em>Sharing<\/em><\/p>\n<figure style=\"width: 150px\" class=\"wp-caption alignright\"><a href=\"http:\/\/blogs.library.duke.edu\/data\/files\/2012\/03\/t6.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/blogs.library.duke.edu\/data\/files\/2012\/03\/t6-150x150.jpg\" alt=\"\" width=\"150\" height=\"150\" \/><\/a><figcaption class=\"wp-caption-text\">Figure 4<\/figcaption><\/figure>\n<p>GeoCommons contains a wide variety of ways to share data (accessed through the About section).\u00a0 Posting to Twitter, Facebook, and an array of other social media sites is possible with a few short clicks.\u00a0 You can directly email a link to the map along with a short personal message right out of the application.For those who wish to post to a web page, GeoCommons provides two ways to insert a map, through a &lt;div&gt; tag and through an iframe.\u00a0 All code is generated for copy and paste into your page.<\/p>\n<p>To access a version of this map, simply follow <a href=\"http:\/\/geocommons.com\/maps\/136200#\">this link<\/a>.<\/p>\n<p>Finally, GeoCommons will produce a PNG image and a KML document for download.\u00a0 The image export feature appears to be relatively new and does take trial-and-error to align correctly.\u00a0 In addition, it does not appear to include any base layers or legends in the output, only the data layer.<\/p>\n<p>&nbsp;<\/p>\n<p><em>Other Notes<\/em><\/p>\n<p>When using standard deviation and maximum breaks methods for grouping observations, double check the category definitions by changing the number of categories and the resulting changes to the definitions for the new groups.\u00a0 This will help to confirm whether data are grouped appropriately and exactly what the definitions for each category are.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Visualizing spatial data can be challenging.\u00a0 Specialized software tools like ArcGIS produce excellent results, but often seem complex for relatively simple tasks. Several online tools have emerged recently that provide relatively easy alternatives for the display of spatial data.\u00a0 In this post, we examine GeoCommons, a web based tool for presenting spatial data in detail.\u00a0 &hellip; <a href=\"https:\/\/blogs.library.duke.edu\/data\/2012\/08\/06\/online-mapping-tools-geocommons\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Online Mapping Tools &#8211; GeoCommons<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":147,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[16,7,1],"tags":[],"class_list":["post-626","post","type-post","status-publish","format-standard","hentry","category-data-visualization","category-gis","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Online Mapping Tools - GeoCommons - Duke Libraries Center for Data and Visualization Sciences<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blogs.library.duke.edu\/data\/2012\/08\/06\/online-mapping-tools-geocommons\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Online Mapping Tools - GeoCommons - Duke Libraries Center for Data and Visualization Sciences\" \/>\n<meta property=\"og:description\" content=\"Visualizing spatial data can be challenging.\u00a0 Specialized software tools like ArcGIS produce excellent results, but often seem complex for relatively simple tasks. Several online tools have emerged recently that provide relatively easy alternatives for the display of spatial data.\u00a0 In this post, we examine GeoCommons, a web based tool for presenting spatial data in detail.\u00a0 &hellip; Continue reading Online Mapping Tools &#8211; GeoCommons &rarr;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/blogs.library.duke.edu\/data\/2012\/08\/06\/online-mapping-tools-geocommons\/\" \/>\n<meta property=\"og:site_name\" content=\"Duke Libraries Center for Data and Visualization Sciences\" \/>\n<meta property=\"article:published_time\" content=\"2012-08-06T01:35:06+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2016-02-15T16:02:25+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/blogs.library.duke.edu\/data\/files\/2012\/03\/t2-150x150.jpg\" \/>\n<meta name=\"author\" content=\"Ryan Denniston\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@duke_data\" \/>\n<meta name=\"twitter:site\" content=\"@duke_data\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ryan Denniston\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/blogs.library.duke.edu\\\/data\\\/2012\\\/08\\\/06\\\/online-mapping-tools-geocommons\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/blogs.library.duke.edu\\\/data\\\/2012\\\/08\\\/06\\\/online-mapping-tools-geocommons\\\/\"},\"author\":{\"name\":\"Ryan Denniston\",\"@id\":\"https:\\\/\\\/blogs.library.duke.edu\\\/data\\\/#\\\/schema\\\/person\\\/86231805f18641328389ebcf48188aa2\"},\"headline\":\"Online Mapping Tools &#8211; 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